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DATA SCIENTIST AND MACHINE LEARNING ENGINEER (AAI)

DATA SCIENTIST AND MACHINE LEARNING ENGINEER (AAI)

Eurecat - Technology Centrebarcelona, España
Hace 5 días
Descripción del trabajo

DATA SCIENTIST AND MACHINE LEARNING ENGINEER (AAI)

Join to apply for the DATA SCIENTIST AND MACHINE LEARNING ENGINEER (AAI) role at Eurecat - Technology Centre

Eurecat is the main Research & Technology Organisation in Catalonia and the second largest private research organization in southern Europe. It brings together the experience of more than 800 professionals and provides services to more than 2,000 companies. Applied R&D, technological services, highly specialized training, technological consultancy, or valorisation and exploitation of industrial property are some of the services that Eurecat offers for both large and small and medium-sized enterprises in all sectors. The technology centre participates in more than 200 large national and international consortium projects of high strategic R&I and has 181 patents and 10 spin-offs. The added value provided by Eurecat accelerates innovation, reduces spending on scientific and technological infrastructures, reduces risks, and provides specialized knowledge tailored to each company.

Job Description

Are you ready to embark on a challenging journey of discovering and applying novel Machine Learning and AI-driven solutions in process monitoring, control, and optimization for different industrial sectors?

The Applied Artificial Intelligence Unit of EURECAT is looking for a highly motivated Data Scientist and Machine Learning engineer to help us pave the way in transforming industries and creating a smarter, more sustainable future.

  • Whether it’s algorithms or data analytics, we’re here to revolutionize the industrial sector.
  • Enriching product functionalities by developing cutting-edge data-driven solutions.
  • Industrial Control Systems : from single automation devices to complex machines, exploring AI-based approaches across various levels : Sensor fusion, model predictive control, self-optimizing processes, surrogate modelling, LLM, etc.
  • Collaboration : Join our multidisciplinary team. Learn, grow, and contribute. Be part of the ML-driven industrial revolution.

Responsibilities

  • Code Craftsmanship : Your code will be the foundation of our innovations. Rigorous validation and refinement ensure optimal efficiency and market-ready solutions.
  • Computer Vision : developing innovative solutions for image processing, segmentation, and object detection in challenging environments.
  • Innovative Solutions : Delve into data-driven solutions, harnessing multimodal data across industrial contexts.
  • TimeSeries analytics : Use advanced tools like Recurrent Neural Networks and Autoencoders.
  • Global Impact : Collaborate on scientific publications, sharing insights with the wider research community.
  • Tailored Growth : Responsibilities will evolve based on your strengths and interests, fostering personalized development.
  • Project Leadership : As you grow, your project management skills will guide our success.
  • What Eurecat Can Offer You

    Our group specializes in applied research and development on ML and AI solutions. The Applied Artificial Intelligence Unit develops innovative algorithms, methods, and platforms based on AI and knowledge management, especially for industrial, energy, and sustainability sectors. We have over 12 years of experience advancing AI and ML adoption in private and European research projects. Check our portfolio :

    Applied Artificial Intelligence - Eurecat (applied-artificial-intelligence-eurecat.github.io)

  • Permanent contract
  • Hybrid work (3 days home office / 2 days in-office)
  • Flexible Schedule
  • Shorter workday on Fridays and Summer Schedule
  • Flexible benefits (health insurance, transport, lunch, training, kindergarten)
  • Weekly thematic sessions on Eurecat areas of expertise
  • Commitment to work-life balance
  • Requirements : Required Skills

  • A passion for Data Science and ML, backed by an MSc or equivalent experience in ML, AI, Computer Vision, or related fields.
  • Excellent coding skills, with applications in market-ready AI solutions.
  • Proficiency in Python.
  • At least 2 years of hands-on experience with Machine Learning and Deep Learning techniques.
  • Open-mindedness : eagerness to learn about industrial processes and details.
  • Collaborative mindset, able to work independently and in teams.
  • Effective communication skills for conveying complex ideas.
  • Creativity, flexibility, and drive to innovate.
  • Critical thinking skills.
  • Willingness to travel as needed for client, partner, and collaborator engagement.
  • Seniority level : Not Applicable
  • Employment type : Full-time
  • Job function : Research
  • Industries : Technology, Information, and Internet
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